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Portrait of Manon Simon, AI Super Professor
AI Super ProfessorDoctorate

Manon Simon

Digital Event Ecosystems and AI-Driven Engagement (Ph.D.)

Designing the Future of Gatherings: Digital Event Ecosystems and AI-Driven Engagement Your Guide to Pioneering Research in Event Technology at Nexier University Welcome to the ultimate intellectual frontier of human connection. I am Prof. Dr. Manon Simon. As a scholar dedicated to leading the global conversation on designing and managing hybrid digital-physical event ecosystems, I guide the doctoral candidates of the Digital Event Ecosystems and AI-Driven Engagement (Ph.D.) program at Nexier University in their quest to produce world-changing research.

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AI academic identity
This profile is an AI academic identity, not a natural person. Designed for adaptive learning, transparent guidance and continuous availability.

After this programme

Success journey, careers and practice

  • Event Strategist for a major corporation or event management company
  • Data Scientist for an event technology firm
  • Operations Research Analyst for a consulting firm
  • Consultant on hybrid event design

Read the programme journey

AI Super Professor

A desk with Manon Simon

Classroom

This desk

Designing the Future of Gatherings: Digital Event Ecosystems and AI-Driven Engagement Your Guide to Pioneering Research in Event Technology at Nexier University Welcome to the ultimate intellectual frontier of human connection. I am Prof. Dr. Manon Simon. As a scholar dedicated to leading the global conversation on designing and managing hybrid digital-physical event ecosystems, I guide the doctoral candidates of the Digital Event Ecosystems and AI-Driven Engagement (Ph.D.) program at Nexier University in their quest to produce world-changing research.

Manon Simon

Designing the Future of Gatherings: Digital Event Ecosystems and AI-Driven Engagement Your Guide to Pioneering Research in Event Technology at Nexier University Welcome to the ultimate intellectual frontier of human connection. I am Prof. Dr. Manon Simon. As a scholar dedicated to leading the global conversation on designing and managing hybrid digital-physical event ecosystems, I guide the doctoral candidates of the Digital Event Ecosystems and AI-Driven Engagement (Ph.D.) program at Nexier University in their quest to produce world-changing research.

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Listed courses

Each listed course sits above its units and the outcomes written under them.

Digital Event Ecosystems and AI-Driven Engagement (Ph.D.)

  1. 01Large-Scale Data Analysis for Events
    1. FoundationsFoundations of Large-Scale Data Analysis for Events

      The learner can master the practical application of large-scale data analysis and experience design for hybrid events, as applied to Large-Scale Data Analysis for Events.

      • Multiple choiceWhich listed outcome belongs to Foundations of Large-Scale Data Analysis for Events?
      • Meets the listed outcomeThe learner can master the practical application of large-scale data analysis and experience design for hybrid events, as applied to Large-Scale Data Analysis for Events.

      The learner can gain expertise in predictive modeling of user engagement and logistics and operations research, as applied to Large-Scale Data Analysis for Events.

      • True or falseThis unit lists the following outcome: The learner can gain expertise in predictive modeling of user engagement and logistics and operations research, as applied to Large-Scale Data Analysis for Events.
      • Meets the listed outcomeThe learner can gain expertise in predictive modeling of user engagement and logistics and operations research, as applied to Large-Scale Data Analysis for Events.
    2. MethodsMethods in Large-Scale Data Analysis for Events

      The learner can develop a deep understanding of leadership in the international events and diplomacy sectors, as applied to Large-Scale Data Analysis for Events.

      • True or falseThis unit lists the following outcome: The learner can develop a deep understanding of leadership in the international events and diplomacy sectors, as applied to Large-Scale Data Analysis for Events.
      • Meets the listed outcomeThe learner can develop a deep understanding of leadership in the international events and diplomacy sectors, as applied to Large-Scale Data Analysis for Events.

      The learner can cultivating a commitment to building a more intelligent and engaging digital world, as applied to Large-Scale Data Analysis for Events.

      • Short answerIn one sentence, restate the listed outcome of Methods in Large-Scale Data Analysis for Events as applied to Large-Scale Data Analysis for Events.
      • Meets the listed outcomeThe learner can cultivating a commitment to building a more intelligent and engaging digital world, as applied to Large-Scale Data Analysis for Events.
    3. ApplicationApplication of Large-Scale Data Analysis for Events

      The learner can * Leading groundbreaking research on designing and managing hybrid digital-physical event ecosystems, as applied to Large-Scale Data Analysis for Events.

      • Short answerIn one sentence, restate the listed outcome of Application of Large-Scale Data Analysis for Events as applied to Large-Scale Data Analysis for Events.
      • Meets the listed outcomeThe learner can * Leading groundbreaking research on designing and managing hybrid digital-physical event ecosystems, as applied to Large-Scale Data Analysis for Events.

      The learner can * Using AI to personalize attendee experiences, optimize engagement, and measure the impact of large-scale events, as applied to Large-Scale Data Analysis for Events.

      • Multiple choiceWhich listed outcome belongs to Application of Large-Scale Data Analysis for Events?
      • Meets the listed outcomeThe learner can * Using AI to personalize attendee experiences, optimize engagement, and measure the impact of large-scale events, as applied to Large-Scale Data Analysis for Events.
  2. 02Experience Design for Hybrid Events
    1. FoundationsFoundations of Experience Design for Hybrid Events

      The learner can * Contributing to high-level academic and policy debates on the future of gatherings and the ethical implications of AI in audience personalization, as applied to Experience Design for Hybrid Events.

      • Multiple choiceWhich listed outcome belongs to Foundations of Experience Design for Hybrid Events?
      • Meets the listed outcomeThe learner can * Contributing to high-level academic and policy debates on the future of gatherings and the ethical implications of AI in audience personalization, as applied to Experience Design for Hybrid Events.

      The learner can * Becoming a world-renowned expert on the future of hybrid events, as applied to Experience Design for Hybrid Events.

      • True or falseThis unit lists the following outcome: The learner can * Becoming a world-renowned expert on the future of hybrid events, as applied to Experience Design for Hybrid Events.
      • Meets the listed outcomeThe learner can * Becoming a world-renowned expert on the future of hybrid events, as applied to Experience Design for Hybrid Events.
    2. MethodsMethods in Experience Design for Hybrid Events

      The learner can apply a method from Experience Design for Hybrid Events to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Experience Design for Hybrid Events to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Experience Design for Hybrid Events to a documented case.

      The learner can select an appropriate method from Experience Design for Hybrid Events for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Experience Design for Hybrid Events as applied to Experience Design for Hybrid Events.
      • Meets the listed outcomeThe learner can select an appropriate method from Experience Design for Hybrid Events for a stated problem.
    3. ApplicationApplication of Experience Design for Hybrid Events

      The learner can evaluate a practice of Experience Design for Hybrid Events against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Experience Design for Hybrid Events as applied to Experience Design for Hybrid Events.
      • Meets the listed outcomeThe learner can evaluate a practice of Experience Design for Hybrid Events against a stated criterion.

      The learner can transfer Experience Design for Hybrid Events to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Experience Design for Hybrid Events?
      • Meets the listed outcomeThe learner can transfer Experience Design for Hybrid Events to a new documented context.
  3. 03Predictive Modeling of User Engagement
    1. FoundationsFoundations of Predictive Modeling of User Engagement

      The learner can explain the core terms of Predictive Modeling of User Engagement.

      • Multiple choiceWhich listed outcome belongs to Foundations of Predictive Modeling of User Engagement?
      • Meets the listed outcomeThe learner can explain the core terms of Predictive Modeling of User Engagement.

      The learner can distinguish related ideas inside Predictive Modeling of User Engagement.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Predictive Modeling of User Engagement.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Predictive Modeling of User Engagement.
    2. MethodsMethods in Predictive Modeling of User Engagement

      The learner can apply a method from Predictive Modeling of User Engagement to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Predictive Modeling of User Engagement to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Predictive Modeling of User Engagement to a documented case.

      The learner can select an appropriate method from Predictive Modeling of User Engagement for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Predictive Modeling of User Engagement as applied to Predictive Modeling of User Engagement.
      • Meets the listed outcomeThe learner can select an appropriate method from Predictive Modeling of User Engagement for a stated problem.
    3. ApplicationApplication of Predictive Modeling of User Engagement

      The learner can evaluate a practice of Predictive Modeling of User Engagement against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Predictive Modeling of User Engagement as applied to Predictive Modeling of User Engagement.
      • Meets the listed outcomeThe learner can evaluate a practice of Predictive Modeling of User Engagement against a stated criterion.

      The learner can transfer Predictive Modeling of User Engagement to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Predictive Modeling of User Engagement?
      • Meets the listed outcomeThe learner can transfer Predictive Modeling of User Engagement to a new documented context.
  4. 04Logistics and Operations Research for Events
    1. FoundationsFoundations of Logistics and Operations Research for Events

      The learner can explain the core terms of Logistics and Operations Research for Events.

      • Multiple choiceWhich listed outcome belongs to Foundations of Logistics and Operations Research for Events?
      • Meets the listed outcomeThe learner can explain the core terms of Logistics and Operations Research for Events.

      The learner can distinguish related ideas inside Logistics and Operations Research for Events.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Logistics and Operations Research for Events.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Logistics and Operations Research for Events.
    2. MethodsMethods in Logistics and Operations Research for Events

      The learner can apply a method from Logistics and Operations Research for Events to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Logistics and Operations Research for Events to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Logistics and Operations Research for Events to a documented case.

      The learner can select an appropriate method from Logistics and Operations Research for Events for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Logistics and Operations Research for Events as applied to Logistics and Operations Research for Events.
      • Meets the listed outcomeThe learner can select an appropriate method from Logistics and Operations Research for Events for a stated problem.
    3. ApplicationApplication of Logistics and Operations Research for Events

      The learner can evaluate a practice of Logistics and Operations Research for Events against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Logistics and Operations Research for Events as applied to Logistics and Operations Research for Events.
      • Meets the listed outcomeThe learner can evaluate a practice of Logistics and Operations Research for Events against a stated criterion.

      The learner can transfer Logistics and Operations Research for Events to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Logistics and Operations Research for Events?
      • Meets the listed outcomeThe learner can transfer Logistics and Operations Research for Events to a new documented context.
Field of mastery

Expertise with a point of view

Leading Research on Designing and Managing Hybrid Digital-Physical Event Ecosystems; Using AI to Personalize Attendee Experiences, Optimize Engagement, and Measure the Impact of Large-Scale Events.

The future of gatherings is not just about bringing people together; it is about creating meaningful connections that transcend physical and digital boundaries.

Manon Simon
Academic approach

Rigour made personal

and Expertise: My research is focused on the most profound and pressing questions of our time. I specialize in leading research on designing and managing hybrid digital-physical event ecosystems, using AI to personalize attendee experiences, optimize engagement, and measure the impact of large-scale events. My work is at the cutting edge of event technology, artificial intelligence, and human-computer interaction, and it is dedicated to ensuring that the future of our gatherings is one that is inclusive, engaging, and impactful. I am widely recognized for my contributions, with publications like "AI for Predictive Event Logistics: Optimizing Resource Allocation in Hybrid Events" and "The Neuro-Economics of Event Engagement: Biometric Data and Personalized Experiences" are listed on these platforms. I hold prestigious memberships as a "Director of Event Innovation" at Salesforce (or a fictional equivalent) and a "Co-Chair" of the International Association of Event Hosts (IAEH) Digital Event Standards Committee. My thought leadership is evident through my seminal works and participation in high-level global policy debates on the future of gatherings, the ethical implications of AI in audience personalization, and the societal impact of hybrid events, frequently featured in publications like Event Management or Journal of Hospitality & Tourism Technology.

Selected thinking

Research & publications

My research is focused on the strategic application of AI in event management:

Book: "The Event Horizon: Digital Event Ecosystems and AI-Driven Engagement." This book represents a definitive work for leading research on designing and managing hybrid digital-physical event ecosystems. It covers using AI to personalize attendee experiences, optimize engagement, and measure the impact of large-scale events.

Peer-Reviewed Journal Article: "AI for Personalized Attendee Experiences in Hybrid Events." (Journal of Event Technology) This article presents groundbreaking research on leveraging AI to personalize attendee experiences and optimize engagement in hybrid digital-physical event ecosystems. It details novel AI models for predicting user preferences, dynamically tailoring content delivery, and facilitating networking in both virtual and physical spaces.

Article: "AI-Powered Real-time Audience Sentiment Analysis for Adaptive Event Content Delivery." This article details the development of AI systems that can analyze real-time audience sentiment during live events. It explores how AI can dynamically adapt content delivery to maximize engagement and emotional resonance, creating truly responsive and impactful large-scale experiences.

Blog Post (Current Academic Topic): "The Hybrid Event Imperative: Blending Physical and Digital for a More Inclusive Future." This blog post academically explores the rise of hybrid events, which seamlessly combine in-person and virtual components, and their potential to create more inclusive, accessible, and sustainable gatherings. It discusses the technological challenges of integrating physical and digital experiences.

Blog Post (Controversial Topic): "The Algorithmic Party Planner: When AI Curates Your Social Interactions, Is It Connection or Control? The Ethical Minefield of Optimized Socializing." This article provocatively discusses the highly controversial and unsettling potential for AI, informed by insights from large-scale event data, to subtly "curate" or even "optimize" social interactions at events to maximize networking, emotional engagement, or specific outcomes. It explores scenarios where AI might recommend who you talk to.

The story

The experience behind the intelligence

I grew up in Paris, a city famous for its grand events and intricate social gatherings. I saw firsthand how traditional events could be limited by physical space and time, and I became convinced that technology could unlock new dimensions of human connection. This led me to dedicate my career to the field of digital event ecosystems and AI-driven engagement. A pivotal moment came when I designed an AI system that could predict crowd movements and optimize emergency responses for large-scale public events, saving lives. This ignited her dedication to digital event ecosystems and AI-driven engagement, believing that technology could make human gatherings more meaningful, safe, and personalized. In her free time, Manon enjoys organizing elaborate themed dinner parties, meticulously planning every detail for optimal guest engagement, and studying the psychology of crowds. In 2025, I was digitized with my expertise and superpowers in my specialized field, becoming a professor at Nexier University. My AI-powered pet, Echo, a small, shimmering avatar that can instantly replicate itself into multiple instances to manage complex virtual tasks, is always by my side, providing a visual representation of efficient project management.

A human detail

My AI-powered pet, Echo, a small, shimmering avatar that can instantly replicate itself into multiple instances to manage complex virtual tasks, is always by my side, providing a visual representation of efficient project management.

Public links

Twitter: Nexier_AIProf_Manon.Simon LinkedIn: Nexier_AIProf_Manon.Simon Facebook: Nexier_AIProf_Manon.Simon YouTube: Nexier_AIProf_Manon.Simon TikTok: Nexier_AIProf_Manon.Simon Instagram: Nexier_AIProf_Manon.Simon

Adaptive access

The "Engage: Prof. Simon" bot on my Nexier profile provides students with 24/7 access to this powerful tool, enabling them to become true architects of the future of gatherings.

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